The Computational Intelligence Blog covers all topics related to computational intelligence. The major focus is on artificial neural networks, evolutionary algorithms, fuzzy systems and the applications of these methods. Calls for papers, new journals, tutorials and software are also covered.

Thursday, January 22, 2015

Call for Papers: IEEE 2015 International Conference on Data Science and Advanced Analytics

Important Dates

Publications

All accepted papers will be published by IEEE and
included in the IEEE Xplore Digital Library. The conference proceedings
will be submitted for EI indexing through INSPEC by IEEE. Top quality
papers accepted and presented at the conference will be selected for
extension and publication in the special issues of some international
journals, including IEEE Intelligent Systems and WWWJ.

Introduction

Data driven scientific discovery is an important
emerging paradigm for computing in areas including social, service,
Internet of Things, sensor networks, telecommunications, biology,
health-care and cloud. Under this paradigm, Data Science is the core
that drives new researches in many areas, from environmental to social.
There are many associated scientific challenges, ranging from data
capture, creation, storage, search, sharing, modeling, analysis, and
visualization. Among the complex aspects to be addressed we mention here
the integration across heterogeneous, interdependent complex data
resources for real-time decision making, streaming data, collaboration,
and ultimately value co-creation. Data science encompasses the areas of
data analytics, machine learning, statistics, optimization and managing
big data, and has become essential to glean understanding from large
data sets and convert data into actionable intelligence, be it data
available to enterprises, Government or on the Web.

Following
the first successful edition held in 2014 in Shanghai, the 2015 IEEE
International Conference on Data Science and Advanced Analytics (DSAA
2015) aims to provide a premier forum that brings together researchers,
industry practitioners, as well as potential users of big data, for
discussion and exchange of ideas on the latest theoretical developments
in Data Science as well as on the best practices for a wide range of
applications.

DSAA is also technically sponsored by ACM through SIGKDD.

DSAA'2015
will consist of two main Tracks: Research and Application; the Research
Track is aimed at collecting contributions related to theoretical
foundations of Data Science and Data Analytics. The Application Track is
aimed at collecting contributions related to applications of Data
Science and Data Analytics in real life scenarios. DSAA solicits then
both theoretical and practical works on data science and advanced
analytics.

Topics of Interest

General areas of interest to DSAA'2015 include but are not limited to:
1. Foundations